Evidence mapPaperPMID 37893202Full record

ArticleBiomedicines2023

A Normalization Protocol Reduces Edge Effect in High-Throughput Analyses of Hydroxyurea Hypersensitivity in Fission Yeast.

Ulysses Tsz-Fung Lam, Thi Thuy Trang Nguyen, Raechell Raechell, Jay Yang, Harry Singer, Ee Sin Chen

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact, top 70% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Ulysses Tsz-Fung LamDepartment of Biochemistry, National University of Singapore, Singapore 117596, Singapore.
Thi Thuy Trang NguyenDepartment of Biochemistry, National University of Singapore, Singapore 117596, Singapore.
Raechell RaechellDepartment of Biochemistry, National University of Singapore, Singapore 117596, Singapore.
Jay YangSinger Instruments, Roadwater, Watchet TA23 0RE, UK.
Harry SingerSinger Instruments, Roadwater, Watchet TA23 0RE, UK.
Ee Sin ChenDepartment of Biochemistry, National University of Singapore, Singapore 117596, Singapore.ORCID 0000-0002-7147-2131
National University of Singapore · SG

Funding

Ministry of Education MOE2018-T2-1-100National University Health System NUHSRO/2021/062/NUSMed/04/LOA
6 · The paper itself

Abstract

Edge effect denotes better growth of microbial organisms situated at the edge of the solid agar media. Although the precise reason underlying edge effect is unresolved, it is generally attributed to greater nutrient availability with less competing neighbors at the edge. Nonetheless, edge effect constitutes an unavoidable confounding factor that results in misinterpretation of cell fitness, especially in high-throughput screening experiments widely employed for genome-wide investigation using microbial gene knockout or mutant libraries. Here, we visualize edge effect in high-throughput high-density pinning arrays and report a normalization approach based on colony growth rate to quantify drug (hydroxyurea)-hypersensitivity in fission yeast strains. This normalization procedure improved the accuracy of fitness measurement by compensating cell growth rate discrepancy at different locations on the plate and reducing false-positive and -negative frequencies. Our work thus provides a simple and coding-free solution for a struggling problem in robotics-based high-throughput screening experiments.

Indexed as

drug screeningedge effectfission yeasthigh-density arrayhigh-throughput screeninghydroxyureaSchizosaccharomyces pombeyeast

Identifiers

PMID37893202
PMCPMC10604075
OpenAlexW4387744135

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.